{"title":"俄罗斯农业和农村人口变化的地区间差异","authors":"T. Kuznetsova","doi":"10.5922/2079-8555-2022-4-10","DOIUrl":null,"url":null,"abstract":"The article presents data reflecting the territorial peculiarities of rural population dynamics and shows their dependence on external factors (primarily, the development of agriculture). The database includes 14 indicators of the regional spatial differentiation of rural population development in Russia between 2010 —2020. A typology of regions based on eight economic and ecological parameters is provided. The dataset covers the statistical indicators of 85 Russian regions from 2010 to 2020, published by the Federal State Statistics Service and the Unified Interdepartmental Information and Statistics System. The results are presented in seven tables and six maps. The dataset can be used by federal and regional authorities elaborating science-based rural development programmes and strategies, as well as experts on rural development.","PeriodicalId":43257,"journal":{"name":"Baltic Region","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inter-regional disparities in agriculture and rural population change in Russia\",\"authors\":\"T. Kuznetsova\",\"doi\":\"10.5922/2079-8555-2022-4-10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents data reflecting the territorial peculiarities of rural population dynamics and shows their dependence on external factors (primarily, the development of agriculture). The database includes 14 indicators of the regional spatial differentiation of rural population development in Russia between 2010 —2020. A typology of regions based on eight economic and ecological parameters is provided. The dataset covers the statistical indicators of 85 Russian regions from 2010 to 2020, published by the Federal State Statistics Service and the Unified Interdepartmental Information and Statistics System. The results are presented in seven tables and six maps. The dataset can be used by federal and regional authorities elaborating science-based rural development programmes and strategies, as well as experts on rural development.\",\"PeriodicalId\":43257,\"journal\":{\"name\":\"Baltic Region\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Baltic Region\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5922/2079-8555-2022-4-10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AREA STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Baltic Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5922/2079-8555-2022-4-10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AREA STUDIES","Score":null,"Total":0}
Inter-regional disparities in agriculture and rural population change in Russia
The article presents data reflecting the territorial peculiarities of rural population dynamics and shows their dependence on external factors (primarily, the development of agriculture). The database includes 14 indicators of the regional spatial differentiation of rural population development in Russia between 2010 —2020. A typology of regions based on eight economic and ecological parameters is provided. The dataset covers the statistical indicators of 85 Russian regions from 2010 to 2020, published by the Federal State Statistics Service and the Unified Interdepartmental Information and Statistics System. The results are presented in seven tables and six maps. The dataset can be used by federal and regional authorities elaborating science-based rural development programmes and strategies, as well as experts on rural development.
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